超疏水表面剪切流建模:从牛顿流体到非牛顿流体

IF 4.3 Q2 ENGINEERING, CHEMICAL
Hossein Rahmani, Faïçal Larachi and Seyed Mohammad Taghavi*, 
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引用次数: 0

摘要

由于超疏水表面在许多流动系统中具有卓越的性能和优势,例如,在实现减少阻力以及流动/液滴处理和操控等特定目标方面,超疏水表面的设计和使用受到了特别关注。在这项工作中,我们对超疏水表面上的剪切流进行了简要回顾,涵盖了牛顿流体和非牛顿流体的经典和最新研究/趋势。目的主要是回顾过去 20 年中开发的相关数学和数值建模方法。考虑到超疏水表面在牛顿流体流动中的广泛应用,我们试图通过强调重大突破来说明针对超疏水表面上牛顿剪切流的研究是如何发展的。尽管在许多实际应用中,超疏水表面上的流动可能会表现出复杂的非牛顿流变,但非牛顿流变与超疏水之间的相互作用尚未得到很好的理解。因此,在本综述中,我们还重点介绍了近期针对超疏水通道中剪切稀化流体和屈服应力流体的剪切流的新兴研究。我们重点回顾了为处理超疏水表面上形成的液体/空气界面与上覆水流之间错综复杂的相互作用而开发的模型。当上覆流动呈现非线性非牛顿流变学时,这种错综复杂的相互作用将更加复杂。我们的结论是,虽然通过分析超疏水表面上的牛顿剪切流的各个方面,我们对这种流的理解已经得到了很好的扩展,但非牛顿流的对应研究还处于早期阶段。这可能与早期主要涉及牛顿流体的应用有关,也可能与非线性非牛顿流变学给本已复杂的问题增加了新的复杂性有关。最后,我们讨论了可以解决超疏水表面上复杂的非牛顿剪切流模型的可能发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modeling of Shear Flows over Superhydrophobic Surfaces: From Newtonian to Non-Newtonian Fluids

Modeling of Shear Flows over Superhydrophobic Surfaces: From Newtonian to Non-Newtonian Fluids

Modeling of Shear Flows over Superhydrophobic Surfaces: From Newtonian to Non-Newtonian Fluids

The design and use of superhydrophobic surfaces have gained special attentions due to their superior performances and advantages in many flow systems, e.g., in achieving specific goals including drag reduction and flow/droplet handling and manipulation. In this work, we conduct a brief review of shear flows over superhydrophobic surfaces, covering the classic and recent studies/trends for both Newtonian and non-Newtonian fluids. The aim is to mainly review the relevant mathematical and numerical modeling approaches developed during the past 20 years. Considering the wide ranges of applications of superhydrophobic surfaces in Newtonian fluid flows, we attempt to show how the developed studies for the Newtonian shear flows over superhydrophobic surfaces have been evolved, through highlighting the major breakthroughs. Despite the fact that, in many practical applications, flows over superhydrophobic surfaces may show complex non-Newtonian rheology, interactions between the non-Newtonian rheology and superhydrophobicity have not yet been well understood. Therefore, in this Review, we also highlight emerging recent studies addressing the shear flows of shear-thinning and yield stress fluids in superhydrophobic channels. We focus on reviewing the models developed to handle the intricate interaction between the formed liquid/air interface on superhydrophobic surfaces and the overlying flow. Such an intricate interaction will be more complex when the overlying flow shows nonlinear non-Newtonian rheology. We conclude that, although our understanding on the Newtonian shear flows over superhydrophobic surfaces has been well expanded via analyzing various aspects of such flows, the non-Newtonian counterpart is in its early stages. This could be associated with either the early applications mainly concerning Newtonian fluids or new complexities added to an already complex problem by the nonlinear non-Newtonian rheology. Finally, we discuss the possible directions for development of models that can address complex non-Newtonian shear flows over superhydrophobic surfaces.

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来源期刊
ACS Engineering Au
ACS Engineering Au 化学工程技术-
自引率
0.00%
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0
期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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